conftrace_

Machine Learning

132,800 papers (10 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and Descriptions ACL 2025 Quality Assessment of Tabular Data using Large Language Models and Code Generation EMNLP 2025 Quality-Aware Decoding: Unifying Quality Estimation and Decoding ACL 2025 Quality Measures for Dynamic Graph Generative Models ICLR 2025 Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation AAAI 2025 QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums NAACL 2025 Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models ICML 2025 Quamba: A Post-Training Quantization Recipe for Selective State Space Models ICLR 2025 QuantAttack: Exploiting Quantization Techniques to Attack Vision Transformers WACV 2025 QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation ICCV 2025 Quantification of Large Language Model Distillation ACL 2025 Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach IJCNLP 2025 Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization ICCV 2025 Quantifying Cognitive Bias Induction in LLM-Generated Content IJCNLP 2025 Quantifying Compositionality of Classic and State-of-the-Art Embeddings EMNLP 2025 Quantifying Generalization Complexity for Large Language Models ICLR 2025 Quantifying Knowledge Distillation using Partial Information Decomposition AISTATS 2025 Quantifying Language Disparities in Multilingual Large Language Models EMNLP 2025 Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport ACL 2025 Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models ACL 2025 Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora ACL 2025 Quantifying Memory Utilization with Effective State-Size ICML 2025 Quantifying Misattribution Unfairness in Authorship Attribution ACL 2025 Quantifying Overfitting along the Regularization Path for Two-Part-Code MDL in Supervised Classification COLT 2025 Quantifying Phonosemantic Iconicity Distributionally in 6 Languages IJCNLP 2025